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Methodological Approaches to Understanding Causes of Health Disparities
Journal article   Open access   Peer reviewed

Methodological Approaches to Understanding Causes of Health Disparities

Neal Jeffries, Alan M Zaslavsky, Ana V Diez Roux, John W Creswell, Richard C Palmer, Steven E Gregorich, James D Reschovsky, Barry I Graubard, Kelvin Choi, Ruth M Pfeiffer, …
American journal of public health (1971), v 109(S1), pp S28-S33
Jan 2019
PMID: 30699015
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.2105/ajph.2018.304843View
Published, Version of Record (VoR)Open Access (License Unspecified) Open

Abstract

Causality Health Services Accessibility Healthcare Disparities Humans Models, Statistical Research Design
Understanding health disparity causes is an important first step toward developing policies or interventions to eliminate disparities, but their nature makes identifying and addressing their causes challenging. Potential causal factors are often correlated, making it difficult to distinguish their effects. These factors may exist at different organizational levels (e.g., individual, family, neighborhood), each of which needs to be appropriately conceptualized and measured. The processes that generate health disparities may include complex relationships with feedback loops and dynamic properties that traditional statistical models represent poorly. Because of this complexity, identifying disparities' causes and remedies requires integrating findings from multiple methodologies. We highlight analytic methods and designs, multilevel approaches, complex systems modeling techniques, and qualitative methods that should be more broadly employed and adapted to advance health disparities research and identify approaches to mitigate them.

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being
#10 Reduced Inequalities

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Collaboration types
Industry collaboration
Domestic collaboration
Web of Science research areas
Public, Environmental & Occupational Health
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